Hunan Institute of Engineering
Xiangtan, China

Hunan Institute of Engineering is located in Xiangtan, Hunan. It was founded in 1951 and is organized in 16 Schools and Departments. Wikipedia.

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Lin G.,Hunan Institute of Engineering
World Transactions on Engineering and Technology Education | Year: 2016

Methods for solving problems in the Motion Control System course are discussed in this article. To improve teaching, it was necessary to reform and innovate, from team building, to classroom and laboratory teaching and curriculum design. A problem-based teaching method was adopted, with emphasis on engineering background, integration of teaching content and updated course content. Also, the curriculum project was designed according to the CDIO method. Innovative experiment teaching content and progressive curriculum design were constructed. Experiments are classified into verification, design, comprehensive or innovative; and an experiment platform was developed. The segment the whole into parts method in curriculum design helped students to deepen understanding of teaching content and to grasp the theory and structure of a typical motor control system. After the teaching reform, students' motivation to learn was improved, practical ability was enhanced and the effectiveness of classroom teaching improved. This lays a solid foundation for those who will design, develop and maintain motion control systems. © 2016 WIETE.

Hu X.,Hunan Institute of Engineering
International Journal of Online Engineering | Year: 2017

Based on the investigation and analysis of the current status of pharmaceutical cold chain at home and abroad, this paper comes up with a solution for pharmaceutical cold chain temperature monitoring, develops an intelligent temperature recorder based on wireless sensor network technology, and makes a detailed introduction to the software and hardware implementation of the wireless sensor nodes of the recorder and the monitoring terminal. Besides, the author tests the performance of the recorder multiple times. The results show that the design basically fulfils the expected goals.

Nie C.,Hunan Institute of Engineering | Yu H.,Xiangtan University
International Journal for Numerical Methods in Engineering | Year: 2017

For the two-dimensional three-temperature radiative heat conduction problem appearing in the inertial confinement numerical stimulations, we choose the Freezing coefficient method to linearize the nonlinear equations, and initially apply the well-known mixed finite element scheme with the lowest order Raviart–Thomas element associated with the triangulation to the linearized equations, and obtain the convergence with one order with respect to the space direction for the temperature and flux function approximations, and design a simple but efficient algorithm for the discrete system. Three numerical examples are displayed. The former two verify theoretical results and show the super-convergence for temperature and flux functions at the barycenter of the element, which is helpful for solving the radiative heat conduction problems. The third validates the robustness of this scheme with small energy conservative error and one order convergence for the time discretization. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Shi P.,Northumbria University | Yang W.,Hunan Institute of Engineering
IET Renewable Power Generation | Year: 2017

Reliable condition monitoring (CM) highly relies on the correct extraction of fault-related features from CM signals. This equally applies to the CM of wind turbines (WTs). Although influenced by slowly rotating speeds and constantly varying loading, extracting fault characteristics from lengthy, nonlinear, non-stationary WT CM signals is extremely difficult, which makes WT CM one of the most challenge tasks in wind power asset management despites that lots of efforts have been spent. Attributed to the superiorities to empirical mode decomposition and its extension form Hilbert-Huang transform in dealing with nonlinear, non-stationary CM signals, the recently developed variational mode decomposition (VMD) casts a glimmer of light for the solution for this issue. However, the original proposed VMD adopts default values for both number of modes and filter frequency bandwidth. It is not adaptive to the signal being inspected. As a consequence, it would lead to inaccurate feature extraction thus unreliable WT CM result sometimes. For this reason, a precise feature extraction method based on optimised VMD is investigated. The experiments have shown that thanks to the use of the proposed optimisation strategies, the faultrelated features buried in WT CM signals have been extracted out successfully. © The Institution of Engineering and Technology 2016.

Yong B.,Hunan Institute of Engineering
Advances in Intelligent Systems and Computing | Year: 2018

Evaluation of PE teaching theory as both cross discipline characteristics of social science and natural science attribute has the macro and micro points in terms of the research scope. And physical education teaching evaluation usually refers to the micro sports teaching evaluation. The continuous development and application of artificial intelligence technology, provides a new perspective for the re-evaluation and setting of physical education for schools and teachers. Based on this, sports teaching intelligent evaluation system based on artificial intelligence expert decision system was analyzed and studied. Based on the discussion of the present situation of the sports teaching evaluation system, the definition and structure of the artificial intelligence expert decision system were achieved. The weight of the evaluation index of the intelligent evaluation system for physical education teaching was determined. In addition, the design ideas and functions were analyzed and studied. The results show that sports teaching intelligent evaluation system based on artificial intelligence expert decision system provides a new development strategy for the application and progress of modern PE technology, and also provides theory support and guidance for the further development of the science and education technology. © 2018, Springer International Publishing AG.

Saifeng Z.,Hunan Institute of Engineering
Agro Food Industry Hi-Tech | Year: 2017

With the development of cloud storage and the rise of big data, the amount of data information has increased exponentially, and the diversification of storage has prompted the generation of cloud computing data center. Virtual technology has brought new opportunities for data caching and real-time distribution of cloud computing data center. Based on the virtual technology of cloud computing data center caching and data real-time distribution, in this paper, the traditional methods of data transmission were compared with the virtual technology's storage time, storage capacity and other parameters. The practice proves that the scheme can improve the utilization rate of resources and the availability of the system, and can effectively improve the system running time.

Liu D.,Hunan Institute of Engineering
International Journal of Networking and Virtual Organisations | Year: 2014

In the past few years, cloud computing has emerged as a promising paradigm for delivering IT-infrastructures, platforms, applications and services. The consolidation of this new paradigm in both commercial business and academic research requires that the underlying resources should be economically managed. In this paper, we present a resource provision framework, which is aiming at improving the energy-efficiency of cloud-based data centres. The proposed framework is implemented as a lightweight middleware, which consists of three novel services that enable cloud providers to up/down scale their virtual resource pool in an efficient manner. Extensive experiments are conducted to evaluate the effectiveness and the performance of the proposed middleware in real-world cloud platform. The results indicate that it can significantly improving the energy-efficiency in virtualised clouds without significantly degradation on application performance. Copyright © 2014 Inderscience Enterprises Ltd.

Chen D.-X.,Hunan Institute of Engineering
Mathematical and Computer Modelling | Year: 2010

Several oscillation criteria are established for the second-order Emden-Fowler neutral delay dynamic equation (r (t) | xΔ (t) |λ - 1 xΔ (t))Δ + f (t, y (δ (t))) = 0 on an arbitrary time scale T, where x (t) {colon equals} y (t) + p (t) y (τ (t)) and λ > 0 is a constant. The results obtained here extend and improve some known results in the literature. Some examples illustrating our main results are also included. © 2010 Elsevier Ltd. All rights reserved.

Yu X.,Hunan Institute of Engineering
Fibers and Polymers | Year: 2010

In this study, the support vector machine (SVM), as a novel type of learning machine, for the first time, was used to construct a quantitative structure-property relationship model for the prediction of the glass transition temperatures (Tg) of 77 aromatic polyamides and polybenzimidazoles. After 1664 descriptors generation, four descriptors were selected for the SVM model by means of multiple linear regression. The best predictions were obtained with the Gaussian radical basis kernel (C=15, ε=0.01 and γ=0.5). The root mean square (rms) errors for training set, validation set and prediction set are 12.13, 15.58, and 16.22 K, respectively. Comparison to existing models, the SVM model shows better statistical characteristics. © 2010 The Korean Fiber Society and Springer Netherlands.

Chen D.-X.,Hunan Institute of Engineering
UPB Scientific Bulletin, Series A: Applied Mathematics and Physics | Year: 2013

This paper deals with the oscillatory behavior of the fractional differential equation with damping (D-1+αy)(t) - p(t)(D-alpha;y)(t) + q(t)f (∫t ∞ (v - t)-αy(v)dv) = 0 for t > 0, where D-αy is the Liouville right-sided fractional derivative of order α ∈ (0, 1) of y. We obtain some sufficient conditions for the oscillatory behavior of the equation by employing a generalized Riccati transformation technique and certain parameter functions. Examples are given to show the significance of our results. To the best of our knowledge, nothing is known regarding the oscillatory behavior of the equation, so this paper initiates the study.

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